Relevant bibliographies by topics / Water quality state estimation

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Water quality state estimation'

Author: Grafiati
Published: 6 September 2023
Last updated: 19 July 2025

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Journal articles on the topic "Water quality state estimation"

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Munavalli, G. R., and M. S. Mohan Kumar. "Water Quality Parameter Estimation in Steady-State Distribution System." Journal of Water Resources Planning and Management 129, no. 2 (2003): 124–34. http://dx.doi.org/10.1061/(asce)0733-9496(2003)129:2(124).

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Xu, Daxing, Hailun Wang, and Lu Zhang. "A new water quality state estimation method with an unknown state model." DESALINATION AND WATER TREATMENT 217 (2021): 174–80. http://dx.doi.org/10.5004/dwt.2021.26755.

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Łangowski, Rafał, and Mietek Brdys. "Monitoring of Chlorine Concentration in Drinking Water Distribution Systems Using an Interval Estimator." International Journal of Applied Mathematics and Computer Science 17, no. 2 (2007): 199–216. http://dx.doi.org/10.2478/v10006-007-0019-y.

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Monitoring of Chlorine Concentration in Drinking Water Distribution Systems Using an Interval EstimatorThis paper describes the design of an interval observer for the estimation of unmeasured quality state variables in drinking water distribution systems. The estimator utilizes a set bounded model of uncertainty to produce robust interval bounds on the estimated state variables of the water quality. The bounds are generated by solving two differential equations. Hence the numerical efficiency is sufficient for on-line monitoring of the water quality. The observer is applied to an exemplary wat
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Salem, Aly K., Ahmad F. Taha, and Ahmed A. Abokifa. "Graph neural networks-based dynamic water quality state estimation in water distribution networks." Engineering Applications of Artificial Intelligence 138 (December 2024): 109426. http://dx.doi.org/10.1016/j.engappai.2024.109426.

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Choi, Hyoung-Sub, In-Cheol Cho, Jong-Hwan Byun, Byung-Hyun Moon, and Jong-Soo Heo. "Estimation of Water Quality and Trophic State in the Hapcheon Lake." Korean Journal of Environmental Agriculture 22, no. 1 (2003): 1–6. http://dx.doi.org/10.5338/kjea.2003.22.1.001.

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Munavalli, G. R., and M. S. Mohan Kumar. "Water quality parameter estimation in a distribution system under dynamic state." Water Research 39, no. 18 (2005): 4287–98. http://dx.doi.org/10.1016/j.watres.2005.07.043.

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Rauch, W., M. Henze, L. Koncsos, et al. "River water quality modelling: I. State of the art." Water Science and Technology 38, no. 11 (1998): 237–44. http://dx.doi.org/10.2166/wst.1998.0473.

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River water quality models are used extensively in research as well as in the design and assessment of water quality management measures. The application of mathematical models for that purpose dates back to the initial studies of oxygen depletion due to organic waste pollution. Since then, models have been constantly refined and updated to meet new and emerging problems of surface water pollution, such as eutrophication, acute and chronic toxicity, etc. In order to handle the complex interactions caused by the increased influence of human activities in rivers it is today mandatory to couple r
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Łangowski, Rafał, and Mietek A. Brdys. "An Interval Estimator for Chlorine Monitoring in Drinking Water Distribution Systems Under Uncertain System Dynamics, Inputs and Chlorine Concentration Measurement Errors." International Journal of Applied Mathematics and Computer Science 27, no. 2 (2017): 309–22. http://dx.doi.org/10.1515/amcs-2017-0022.

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AbstractThe design of an interval observer for estimation of unmeasured state variables with application to drinking water distribution systems is described. In particular, the design process of such an observer is considered for estimation of the water quality described by the concentration of free chlorine. The interval observer is derived to produce the robust interval bounds on the estimated water quality state variables. The stability and robustness of the interval observer are investigated under uncertainty in system dynamics, inputs, initial conditions and measurement errors. The bounds
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Shakhman, I. A., and N. S. Loboda. "Water quality estimation at the gauge station of the Ingulets River, town of Snigurivka, by hydrochemical parameters." Ukrainian hydrometeorological journal, no. 17 (October 29, 2017): 123–36. http://dx.doi.org/10.31481/uhmj.17.2016.14.

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The article contains the results of water quality estimation by hydrochemical parameters at the gauge station of the Ingulets River, town of Snigurivka, during the observation period of 2001-2014 based on modern calculation methods. The analysis of anthropogenic factors affecting change of quality of surface water of the Ingulets River was used. It was found that by hydrochemical parameters waters are mostly "contaminated", "very contaminated", or "catastrophically contaminated". River flow appears to be the main source of water supply for the population and the economy. There is an acute defi
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Hohls, D., G. du Plessis, S. N. Venter, et al. "Estimation of the fate of microbial water quality contaminants in a South African river." Water Science and Technology 31, no. 5-6 (1995): 271–74. http://dx.doi.org/10.2166/wst.1995.0623.

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The aim of this study was to evaluate the validity of assumptions, regarding assimilative capacity for microbial contaminants, implicit in microbial water quality management in South Africa. A one dimensional steady state stream water quality model, assuming first order decay of microbial water quality variables, was employed in an attempt to describe and predict microbial water quality in the chosen catchment. Based on the faecal coliform counts the results indicated that the processes of decay and dilution were inadequate to yield water quality which complied with South African and internati
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Dissertations / Theses on the topic "Water quality state estimation"

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Sinha, Sumit. "Parameter estimation and auto-calibration of the STREAM-C model." Master's thesis, Mississippi State : Mississippi State University, 2005. http://library.msstate.edu/content/templates/?a=72.

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Farzanehrafat, Ali. "Power Quality State Estimation." Thesis, University of Canterbury. Electrical and Computer Engineering, 2014. http://hdl.handle.net/10092/9830.

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Traditional state estimation whereby the state of the system is assessed based on a limited number of measurements is a well established tool for steady-state situations where the frequency of the system is 50 Hz. Previous contributions have looked at extending this concept to the power quality area. This area of research is called Power Quality State Estimation (PQSE) and represents a class of techniques. Under the umbrella of PQSE, the main contribution of this work is taking Transient State Estimation (TSE) on step further. A new three-phase formulation for TSE using the Numerical Integrato
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Hamza, Sarah. "State of water quality management in Egypt." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0008/MQ42329.pdf.

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Vaschenko, Nataliya. "Quality and ecological state of ground water." Thesis, Видавництво СумДУ, 2005. http://essuir.sumdu.edu.ua/handle/123456789/13585.

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Roz, Evan Phillips. "Water quality modeling and rainfall estimation: a data driven approach." Thesis, University of Iowa, 2011. https://ir.uiowa.edu/etd/1258.

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Water is vital to man and its quality it a serious topic of concern. Addressing sustainability issues requires new understanding of water quality and water transport. Past research in hydrology has focused primarily on physics-based models to explain hydrological transport and water quality processes. The widespread use of in situ hydrological instrumentation has provided researchers a wealth of data to use for analysis and therefore use of data mining for data-driven modeling is warranted. In fact, this relatively new field of hydroinformatics makes use of the vast data collection and communi
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DeChant, Caleb Matthew. "Hydrologic Data Assimilation: State Estimation and Model Calibration." PDXScholar, 2010. https://pdxscholar.library.pdx.edu/open_access_etds/172.

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This thesis is a combination of two separate studies which examine hydrologic data assimilation techniques: 1) to determine the applicability of assimilation of remotely sensed data in operational models and 2) to compare the effectiveness of assimilation and other calibration techniques. The first study examines the ability of Data Assimilation of remotely sensed microwave radiance data to improve snow water equivalent prediction, and ultimately operational streamflow forecasts. Operational streamflow forecasts in the National Weather Service River Forecast Center are produced with a coupled
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Frederick, Brent Ray. "Magnesium supplementation through drinking water to improve pork quality." NCSU, 2003. http://www.lib.ncsu.edu/theses/available/etd-05162003-134628/.

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Four experiments were conducted to investigate the effect of short term magnesium supplementation through drinking water prior to harvest on pork quality of pigs. Two days of magnesium supplementation (experiment 1) appeared optimal to improved pork quality. Older, slower growing pigs produced higher pork quality than younger faster growing pigs; however, magnesium supplementation had no effect (experiment 2). The presence of the Halothane and to a greater extent the Rendement Napole mutation reduced the quality of pork (experiment 3). Furthermore, pigs with both mutations had poorer pork qual
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Tamagnini, Filippo. "EKF based State Estimation in a CFI Copolymerization Reactor including Polymer Quality Information." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/20235/.

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State estimation is an integral part of modern control techniques, as it allows to characterize the state information of complex plants based on a limited number of measurements and the knowledge of the process model. The benefit is twofold: on one hand it has the potential to rationalize the number of measurements required to monitor the plant, thus reducing costs, on the other hand it enables to extract information about variables that have an effect on the system but would otherwise be inaccessible to direct measurement. The scope of this thesis is to design a state estimator for a tubu
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Sahinci, Erin. "Optimal estimation of discrete fault probabilities using a stochastic state model." Diss., Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/16888.

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Schneider, Seth J. "Hydrothermal and water quality modelng for evaluation of Ashumet Pond trophic state." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/42637.

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Books on the topic "Water quality state estimation"

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Mueller, David K. Estimation of natural dissolved-solids discharge in the Upper Colorado River Basin, western United States. Dept. of the Interior, U.S. Geological Survey, 1988.

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Chen, Kai. Set membership estimation of state and parameters and operational control of integrated quantity and quality models of water supply and distribution systems. University of Birmingham, 1997.

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Washington (State). Dept. of Ecology., ed. Washington State water quality indicators. Washington State Dept. of Ecology, 1999.

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Service, United States Extension. State extension water quality coordinators. U.S. Dept. of Agriculture, Extension Service, 1992.

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Geological Survey (U.S.), ed. Federal-state cooperative water resources program: Ground-water activities. U.S. Geological Survey, Dept. of the Interior : [Books and Open-File Reports Section, distributor], 1988.

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Geological Survey (U.S.), ed. Federal-state cooperative water resources program: Ground-water activities. U.S. Geological Survey, Dept. of the Interior : [Books and Open-File Reports Section, distributor], 1988.

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Geological Survey (U.S.), ed. Federal-state cooperative water resources program: Ground-water activities. U.S. Geological Survey, Dept. of the Interior : [Books and Open-File Reports Section, distributor], 1988.

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Section, California Dept of Water Resources Water Quality. State Water Project: Water quality : 1992 and 1993. California Dept. of Water Resources, Division of Operations and Maintenance, Water Quality Section, 1995.

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Phillips, Steven P. Geohydrology, water quality, and estimation of ground-water recharge in San Francisco, California, 1987-92. U.S. Geological Survey, 1993.

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Utah. State Water Plan Coordinating Committee. State water plan. Utah Board of Water Resources, 1992.

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Book chapters on the topic "Water quality state estimation"

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Raghuwanshi, N. S., R. A. Rastogi, and Santosh Kumar. "Application of Linear System Models for Estimation of Wash Load." In Water-Quality Hydrology. Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-011-0393-0_8.

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Burn, D. H. "Water Quality Sampling for Nutrient Loading Estimation." In Water Pollution: Modelling, Measuring and Prediction. Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3694-5_36.

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Tu, L. T., N. V. Vuong, N. T. Hieu, Cheol Gi Kim, and Chong Oh Kim. "Estimation for Nd-Fe-B Melt-Spun Powder Quality." In Solid State Phenomena. Trans Tech Publications Ltd., 2007. http://dx.doi.org/10.4028/3-908451-31-0.1705.

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Benedini, Marcello, and George Tsakiris. "The Steady-State Case." In Water Quality Modelling for Rivers and Streams. Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-5509-3_10.

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Kubiak-Wójcicka, Katarzyna, and Monika Kielik. "The State of Water and Sewage Management in Poland." In Quality of Water Resources in Poland. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64892-3_16.

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Łabędzki, Leszek, Edmund Kaca, and Andrzej Brandyk. "Irrigation and Drainage in Polish Agriculture: State, Problems and Needs." In Quality of Water Resources in Poland. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64892-3_5.

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Goncharuk, Vladyslav V. "SOS: Drinking Water. New State Standard “Drinking Water. Requirements and Methods of Quality Control”." In Drinking Water. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04334-0_7.

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Burges, Stephen J. "Process representation, measurements, data quality, and criteria for parameter estimation of watershed models." In Water Science and Application. American Geophysical Union, 2003. http://dx.doi.org/10.1029/ws006p0283.

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Novo, E. M. L. M., C. Z. F. Braga, and J. G. Tundisi. "Remote sensing estimation of total chlorophyll pigment distribution in Barra Bonita Reservoir, Brazil." In Comparative Reservoir Limnology and Water Quality Management. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-017-1096-1_10.

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Singh, K. P. "Water Quality and Health Issues in South-West Parts of Punjab State, India." In Water and Health. Springer India, 2013. http://dx.doi.org/10.1007/978-81-322-1029-0_23.

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Conference papers on the topic "Water quality state estimation"

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Yunusoglu, Aybars, Dexter Le, Murat Isik, Karn Tiwari, I. Can Dikmen, and Teoman Karadag. "Battery State of Health Estimation Using LLM Framework." In 2025 26th International Symposium on Quality Electronic Design (ISQED). IEEE, 2025. https://doi.org/10.1109/isqed65160.2025.11014446.

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Wang, Lei, Xibo Lv, and Jing Zhao. "Water Quality Prediction in Wastewater Treatment Process Using Lasso Echo State Network." In 2024 China Automation Congress (CAC). IEEE, 2024. https://doi.org/10.1109/cac63892.2024.10865777.

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Pasella, Manuela, Andrea Benigni, Barbara Cannas, Daniele Carta, Carlo Muscas, and Fabio Pisano. "On the Quality of Pseudo-Measurements for Distribution System State Estimation." In 2024 IEEE 14th International Workshop on Applied Measurements for Power Systems (AMPS). IEEE, 2024. http://dx.doi.org/10.1109/amps62611.2024.10706662.

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Qi, Demin, Zhongkuan Han, Chaodai Zhao, Xiaolei Hou, Yahui Li, and Tao Yu. "Lightweight Power Quality Monitoring Based on Improved Least Squares State Estimation." In 2024 21st International Conference on Harmonics and Quality of Power (ICHQP). IEEE, 2024. https://doi.org/10.1109/ichqp61174.2024.10768830.

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Blanco, Ana Maria, Jan Meyer, and Marco Lindner. "Influence of Measurement Uncertainty of Power Quality Instruments on Harmonic State Estimation." In 2024 IEEE 14th International Workshop on Applied Measurements for Power Systems (AMPS). IEEE, 2024. http://dx.doi.org/10.1109/amps62611.2024.10706682.

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Lutai, Dmytro, and Natalia Kichuk. "Water quality assessment of Katlabukh Lake and inflowing rivers." In International Conference of Young Scientists on Meteorology, Hydrology and Environmental Monitoring. Ukrainian Hydrometeorological Institute, 2023. http://dx.doi.org/10.15407/icys-mhem.2023.012.

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The estuary zone of the Danube forms a large bog delta with a total area of about 5640 km2 of Danube lakes (Kahul, Katlabukh, Yalpuh, Kytay, Sasyk), which in recent years are subject to intensive anthropogenic pollution. After their damming and transformation into water reservoirs, water exchange is carried out with the help of a system of locks and channels, without forced water supply, which has significantly affected deterioration, both the regime of lakes and their hydrochemical condition. This is especially true for the Katlabukh and Kytay lakes, which have much worse conditions of water
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Bhati, Awan, Palash V. Acharya, Ofodike A. Ezekoye, and Vaibhav Bahadur. "Estimation of Fuel Quality Using Statistical Regression-Based Analysis of Leidenfrost Droplets." In ASME 2021 Heat Transfer Summer Conference collocated with the ASME 2021 15th International Conference on Energy Sustainability. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/ht2021-62231.

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Abstract Accurate measurement of fuel quality is critical for automotive applications as it impacts engine performance and emissions. A number of techniques have been proposed to measure fuel quality including acoustic wave speed sensors, chemometric modeling, near-infrared spectrophotometry, Raman spectroscopy etc. All of these techniques are complex in nature and require expensive equipment. In contrast, we propose a novel, simple and rapid method for estimating fuel quality in field environments. This involves measuring the evaporation time of fuel droplets in the Leidenfrost state, and usi
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Dasgupta, Saumyadeb, Ravi Chavali, Naga Siva Kumar Gunda, and Sushanta Kumar Mitra. "Evaluating the Efficacy of Hollow Fiber Pre-Concentrator for Water Quality Monitoring." In ASME 2015 13th International Conference on Nanochannels, Microchannels, and Minichannels collocated with the ASME 2015 International Technical Conference and Exhibition on Packaging and Integration of Electronic and Photonic Microsystems. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/icnmm2015-48192.

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Simple, efficient and compact concentrating systems are of prime importance to the development of portable biosensor based testing solutions for bacterial contamination in potable water. Bacteria are non-uniformly distributed in drinking water and hence testing with small sample volumes does not provide an accurate estimation. Hence bacteria have to be concentrated from large volumes of water of the order of 100 mL as recommended by United States Environmental Protection Agency (USEPA) to a few hundred microliters to accommodate within portable biosensor platforms like Lab on a Chip (LOC), pap
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Miyamoto, Yuichi. "Dynamic Characteristic Analysis and Parameter Estimation for a Thermal Plant." In ASME/ISCIE 2012 International Symposium on Flexible Automation. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/isfa2012-7122.

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A thermal plant as a controlled system has many state parameters, which cannot be measured directly in many cases. The control efficiency can be improved by applying estimated parameters to the control of the plant. A fluidized-bed incinerator is not constant in the quantity and quality of the feed refuse, which is the fuel, and combustion control is difficult owing to the rapidity of completion of combustion. However, it is thought to be possible to improve the efficiency of CO control and NOx control drastically if the state parameters such as the combustion rate on the upper bed site and th
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Rana, SM Masud, Gal Perelman, Elad Salomons, and James G. Uber. "Valve Loss Curve Estimation Using Real-Time SCADA Data." In 2nd WDSA/CCWI Joint Conference. Editorial Universitat Politècnica de València, 2022. http://dx.doi.org/10.4995/wdsa-ccwi2022.2022.14760.

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Real-time operation of drinking water networks (DWN) through supervisory control and data acquisition (SCADA) system can potentially reduce the amount of energy consumed. This can be achieved by controlling pumps and valves to reduce pumping cost and energy dissipated at valves and improve pressure and water quality throughout the DWN. With the integration of hydraulic models and real-time data sources, optimization of real-time operation of DWNs has become more feasible in recent years. An accurate hydraulic model of a DWN is necessary to realize the benefits of real-time modeling and control
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Reports on the topic "Water quality state estimation"

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Hallberg, George R., and B. C. Kross. The Iowa state-wide rural well-water survey water-quality data : initial analysis. Iowa Department of Natural Resources, 1990. http://dx.doi.org/10.17077/rep.006560.

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Mukuyu, P., N. Jayathilake, M. Tijani, et al. State of water quality monitoring and pollution control in Africa: towards developing an African Water Quality Program (AWaQ). International Water Management Institute (IWMI), 2024. http://dx.doi.org/10.5337/2023.216.

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Hallberg, George R. The Iowa state-wide rural well-water survey : site and well characteristics and water quality. Iowa Department of Natural Resources, Energy and Geological Resources Division, Geological Survey Bureau, 1992. http://dx.doi.org/10.17077/rep.006541.

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Fowler, W. B., T. D. Anderson, and J. D. Helvey. Changes in water quality and climate after forest harvest in central Washington state. U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, 1988. http://dx.doi.org/10.2737/pnw-rp-388.

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Weissinger, Rebecca, and Carolyn Hackbarth. Water quality in the Northern Colorado Plateau Network: Water years 2019?2022. National Park Service, 2024. http://dx.doi.org/10.36967/2304433.

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Water quality monitoring in National Park Service units of the Northern Colorado Plateau Network (NCPN) is made possible through partnerships between the National Park Service Inventory & Monitoring Division, individual park units, the U.S. Geological Survey, and the Utah Department of Environmental Quality. This report evaluates water quality data from site visits at 42 different locations within and around eight park units in Utah and Colorado from October 1, 2018 through September 30, 2022. Data are compared to state water quality standards for the purpose of providing information to pa
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Hallberg, George R., B. C. Kross, Robert D. Libra, et al. The Iowa state-wide rural well-water survey design report : a systematic sample of domestic drinking water quality. Iowa Department of Natural Resources, 1990. http://dx.doi.org/10.17077/rep.006553.

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Zhang, Renduo, and David Russo. Scale-dependency and spatial variability of soil hydraulic properties. United States Department of Agriculture, 2004. http://dx.doi.org/10.32747/2004.7587220.bard.

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Water resources assessment and protection requires quantitative descriptions of field-scale water flow and contaminant transport through the subsurface, which, in turn, require reliable information about soil hydraulic properties. However, much is still unknown concerning hydraulic properties and flow behavior in heterogeneous soils. Especially, relationships of hydraulic properties changing with measured scales are poorly understood. Soil hydraulic properties are usually measured at a small scale and used for quantifying flow and transport in large scales, which causes misleading results. The
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Desiderati, Christopher. Carli Creek Regional Water Quality Project: Assessing Water Quality Improvement at an Urban Stormwater Constructed Wetland. Portland State University, 2022. http://dx.doi.org/10.15760/mem.78.

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Stormwater management is an ongoing challenge in the United States and the world at-large. As state and municipal agencies grapple with conflicting interests like encouraging land development, complying with permits to control stormwater discharges, “urban stream syndrome” effects, and charges to steward natural resources for the long-term, some agencies may turn to constructed wetlands (CWs) as aesthetically pleasing and functional natural analogs for attenuating pollution delivered by stormwater runoff to rivers and streams. Constructed wetlands retain pollutants via common physical, physico
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Hackbarth, Carolyn, and Rebeca Weissinger. Water quality in the Northern Colorado Plateau Network: Water years 2016–2018 (revised with cost estimate). National Park Service, 2023. http://dx.doi.org/10.36967/nrr-2279508.

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Water-quality monitoring in National Park Service units of the Northern Colorado Plateau Network (NCPN) is made possible through partnerships between the National Park Service Inventory & Monitoring Division, individual park units, the U.S. Geological Survey, and the Utah Division of Water Quality. This report evaluates data from site visits at 62 different locations on streams, rivers, and reservoirs in or near ten NCPN park units between October 1, 2015 and September 30, 2018. Data are compared to state water-quality standards for the purpose of providing information to park managers abou
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Weissinger, Rebecca. Trends in water quality at Bryce Canyon National Park, water years 2006–2021. Edited by Alice Wondrak Biel. National Park Service, 2022. http://dx.doi.org/10.36967/2294946.

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The National Park Service collects water-quality samples on a rotating basis at three fixed water-quality stations in Bryce Canyon National Park (NP): Sheep Creek, Yellow Creek, and Mossy Cave Spring. Data collection began at Sheep Creek and Yellow Creek in November 2005 and at Mossy Cave in July 2008. Data on in-situ parameters, fecal-coliform samples, major ions, and nutrients are collected monthly, while trace elements are sampled quarterly. This report analyzes data from the beginning of the period of record for each station through water year 2021 to test for trends over time. Concentrati
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You might also be interested in the extended bibliographies on the topic 'Water quality state estimation' for particular source types:
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